{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import json\n",
    "from pandas import DataFrame\n",
    "import numpy\n",
    "import matplotlib\n",
    "from matplotlib import pylab, mlab, pyplot\n",
    "np = numpy\n",
    "plt = pyplot\n",
    "from IPython.display import display\n",
    "from IPython.core.pylabtools import figsize, getfigs\n",
    "from pylab import *\n",
    "from numpy import *\n",
    "path = \"/Users/linqiliang/Documents/PySci/data/pydata-book/ch02/usagov_bitly_data2012-03-16-1331923249.txt\"\n",
    "records = [json.loads(line) for line in open(path)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "frame = DataFrame(records)\n",
    "clean_tz = frame['tz'].fillna('Missing')\n",
    "clean_tz[clean_tz==''] = 'UnKnown'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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N9KIZMzOzUc7hcRSLiCdrNddoe5z0dT7TgCbgTmC/iOjOAfSdwGdJQe8e4PCI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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10de3d5d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tz_counts = clean_tz.value_counts()\n",
    "tz_counts[:10].plot(kind = 'barh',rot=0)\n",
    "plt.savefig('figpath.png')\n",
    "#im = plt.imread('figpath.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from pandas import Series\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "results = Series([x.split()[0] for x in frame.a.dropna()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2594"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.value_counts()['Mozilla/5.0']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "Cframe = frame[frame.a.notnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "operating_system = np.where(Cframe.a.str.contains('Windows'),'Windows','Not Windows')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "by_tz_os = Cframe.groupby(['tz',operating_system])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "agg_counts = by_tz_os.size().unstack().fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "indexer = agg_counts.sum(1).argsort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "count_subset = agg_counts.take(indexer[-10:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10e45b090>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_subset.plot(kind='barh',stacked = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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lNDc3OyE1M7NezwlpLyZpPLBfRAwvOpa+bVOgL9zCbGpBLfC+QgMxMzPrUV7U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\nC0iNMcYYY0xcWUBqjDHGGGPi6v8BsMTGdXUxj5IAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e431050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "subcounts = count_subset.div(count_subset.sum(1),axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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mZmZmTc5Jp5mZmZk1OSedZmZmZtbkvGSSmZlZEykrK8t1CGbVysXPppNOMzOz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\nkUqnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f76c490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "subcounts.plot(kind='barh',stacked = True);plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
